Steering through the storm: Environmental uncertainty and delivery performance

Joshua Ignatius, Rui Li, Yunqiang Yin*, Kunze Jia

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

We investigate the impact of Typhoon Lekima, a source of environmental uncertainty, on delivery performance, utilizing data from RiRiShun Logistics. We apply a staggered difference-in-differences model across low-complexity and high-complexity supply chains. The analysis uncovers distinct dynamics throughout the typhoon’s forecast, active, and recovery phases. Notably, the active phase experiences less disruption in delivery performance compared to the forecast phase, owing to RiRiShun’s wait-and-see policy. This approach leads to order accumulation but subsequently enables more effective resource allocation. In the recovery phase, high-complexity supply chains demonstrate significant improvements, surpassing pre-disaster performance levels. The study further emphasizes the critical role of two response mechanisms in managing
high-complexity supply chains. Increasing throughput efficiencies at destination centers and implementing transfer centers prove effective in enhancing delivery performance during both the forecast and active phases. However, the simultaneous application of these response mechanisms during the forecast phase unexpectedly reduces performance.
Original languageEnglish
JournalJournal of Operations Management
Early online date17 Sept 2024
DOIs
Publication statusE-pub ahead of print - 17 Sept 2024

Bibliographical note

Copyright © 2024 Association for Supply Chain Management, Inc. This is the peer reviewed version of the following article: 'Ignatius, J., Li, R., Yin, Y., & Jia, K. (2024). Steering through the storm: Environmental uncertainty and delivery performance. Journal of Operations Management,' which has been published in final form at https://doi.org/10.1002/joom.1331.  This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archived Versions.

Keywords

  • contingency planning
  • delivery performance
  • environmental uncertainty
  • response mechanisms
  • supply chain complexity

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